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Volumn , Issue , 2011, Pages 534-539

Using modified multivariate bag-of-words models to classify physiological data

Author keywords

[No Author keywords available]

Indexed keywords

BAG OF WORDS; CLASSIFICATION ACCURACY; INVERSE DOCUMENT FREQUENCY; MULTIPLE TIME SERIES; MULTIVARIATE TIME SERIES; NATURAL LANGUAGE PROCESSING; PHYSIOLOGICAL DATA; TERM FREQUENCY; UNIVARIATE;

EID: 84857163395     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDMW.2011.174     Document Type: Conference Paper
Times cited : (32)

References (26)
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    • (2007) Data Min. Knowl. Discov. , vol.15 , pp. 107-144
    • Lin, J.1    Keogh, E.2    Wei, L.3    Lonardi, S.4
  • 22
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    • The lindex: An indexing structure for efficient subsequence matching in time sequence databases
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    • IEEE
    • J. Henriques and T. Rocha, "Prediction of acute hypotensive episodes using neural network multi-models," in Computers in Cardiology, 2009. IEEE, 2009, pp. 549-552.
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    • Henriques, J.1    Rocha, T.2
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    • A rule-based approach for the prediction of acute hypotensive episodes
    • IEEE
    • M. Mneimneh and R. Povinelli, "A rule-based approach for the prediction of acute hypotensive episodes," in Computers in Cardiology, 2009. IEEE, 2009, pp. 557-560.
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    • Mneimneh, M.1    Povinelli, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.